sivaramakrishnan-rajaraman Goto Github PK

cbam-keras

CBAM implementation on Keras

ceal-medical-image-segmentation

Active Deep Learning for Medical Imaging Segmentation

cervix-roi-segmentation-by-unet

chestxray-pggan

High Resolution Chest X-ray Image Synthesis Using Progressive-Growing Generative Adversarial Networks

chexzero

This repository contains code to train a self-supervised learning model on chest X-ray images that lack explicit annotations and evaluate this model's performance on pathology-classification tasks.

citiesatnight

classification_models

Classification models trained on ImageNet. Keras.

cnn-for-malaria-parasite-detection

cnn-visualization-toward-malaria-parasite-detection

comparing-deep-learning-models-for-population-screening-using-chest-radiography

contest-based-image-retrieval-using-transfer-learning

contrastive-classification-keras

Implementation of self-supervised image-level contrastive pretraining methods using Keras.

covid-19

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

covid-19-image-repository

Anonymized dataset of COVID-19 cases with a focus on radiological imaging. This includes images (x-ray / ct) with extensive metadata, such as admission-, ICU-, laboratory-, and patient master-data.

covid-19-screening-using-ran-on-x-ray-images

covid-19 screening using Residual Attention Network on X-ray images

covid-classifier

An efficient machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images

covid-cxnet

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

covid19-cnn-lstm

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

covid19_ultrasound

Open source lung ultrasound (LUS) data collection initiative for COVID-19.

covxnet

A Multi-Dilation Convolutional Neural Network for Automatic COVID-19 and Other Pneumonia Detection from Chest X-ray Images with Transferable Multi-Receptive Feature Optimization

cross-stitch-networks-for-multi-task-learning

A Tensorflow implementation of the paper arXiv:1604.03539

cutout-random-erasing

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

cvppa_pid_0041

cxr-bone-suppression

cxr-modality-specific-object-detection-ensemble-for-pneumonia-detection

Training and constructing ensembles of RetinaNet-based object detection models initialized with random, ImageNet and CXR modality-specific pretrained weights

cxr-super-resolution

cycle-gan-keras

A keras implementation of CycleGAN

cyclegan-keras

Keras implementation of CycleGAN using a tensorflow backend.

dataset-distillation

Dataset Distillation

datashapley

Data Shapley: Equitable Valuation of Data for Machine Learning